arimaParameters: ARIMA parameters
In spif-ctfc/LFMC: Live Fuel Moisture Content Data Management and Analysis
arimaParameters R Documentation
ARIMA parameters
Description
The dataset contains parameters required for ARIMA definition in the outlier search routine.
These parameters were obtained by fitting an ARIMA for each site-species series,
using auto.arima function from forecast package.
Data includes parameters for Auto Regressive (AR) and Moving Average (MA) model terms, and seasonal component.
Usage
arimaParameters
Format
A data frame with 42 rows and 10 columns
- SamplingSiteCode
Unique code of sampling locality and site
- SpeciesCode
Unique species code
- SiteSpCode
Combination of site and species code
- p
non-seasonal AR order
- d
non-seasonal differencing, defined as d = 0
- q
non-seasonal MA order
- sP
seasonal AR order
- sD
seasonal differencing
- sQ
seasonal MA order
- Method
fitting method used in auto.arima function
spif-ctfc/LFMC documentation built on Sept. 29, 2022, 2:21 a.m.
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| arimaParameters | R Documentation |
ARIMA parameters
Description
The dataset contains parameters required for ARIMA definition in the outlier search routine. These parameters were obtained by fitting an ARIMA for each site-species series, using auto.arima function from forecast package. Data includes parameters for Auto Regressive (AR) and Moving Average (MA) model terms, and seasonal component.
Usage
arimaParameters
Format
A data frame with 42 rows and 10 columns
- SamplingSiteCode
Unique code of sampling locality and site
- SpeciesCode
Unique species code
- SiteSpCode
Combination of site and species code
- p
non-seasonal AR order
- d
non-seasonal differencing, defined as d = 0
- q
non-seasonal MA order
- sP
seasonal AR order
- sD
seasonal differencing
- sQ
seasonal MA order
- Method
fitting method used in auto.arima function
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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